Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction
The present work aims to reduce tunnel construction accidents to personnel. The threshold adaptive segmentation algorithm combined with the Canny operator is employed to extract and detect the cracks on the rock mass of the tunnel face from digital images of the tunnel face. Firstly, the gray change...
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| Vydáno v: | The Journal of supercomputing Ročník 78; číslo 9; s. 11601 - 11620 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Springer US
01.06.2022
Springer Nature B.V |
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| ISSN: | 0920-8542, 1573-0484 |
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| Abstract | The present work aims to reduce tunnel construction accidents to personnel. The threshold adaptive segmentation algorithm combined with the Canny operator is employed to extract and detect the cracks on the rock mass of the tunnel face from digital images of the tunnel face. Firstly, the gray change processing and histogram equalization technology of the image processing algorithm enhance the contrast of the digital image of rock mass on the tunnel face. Then, the Canny operator and OTSU method construct a threshold adaptive segmentation algorithm to segment the rock mass crevice image after increasing the contrast and to classify crevices on the tunnel face into streak cracks and irregular cracks. Secondly, the segmented image is corrupted, extended, and refined; meanwhile, boundary fitting, separation, merging, and filtering are carried out to form a relatively complete rock boundary recognition result. Finally, the streak crevices and irregular crevices are detected according to the crevice geometry and pixel distribution characteristics to determine the crack direction. The experimental results show that this method can extract complete rock cracks with less than a 2% extraction error rate. Besides, the detection rates of the algorithm for the streak crevices and irregular crevices are 97% and 94%, respectively, and the detection accuracy of the crevice direction is 98%. This indicates that the algorithm proposed here is applicable to geological sketch and provides a reference for the classification of surrounding rock on the tunnel face. |
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| AbstractList | The present work aims to reduce tunnel construction accidents to personnel. The threshold adaptive segmentation algorithm combined with the Canny operator is employed to extract and detect the cracks on the rock mass of the tunnel face from digital images of the tunnel face. Firstly, the gray change processing and histogram equalization technology of the image processing algorithm enhance the contrast of the digital image of rock mass on the tunnel face. Then, the Canny operator and OTSU method construct a threshold adaptive segmentation algorithm to segment the rock mass crevice image after increasing the contrast and to classify crevices on the tunnel face into streak cracks and irregular cracks. Secondly, the segmented image is corrupted, extended, and refined; meanwhile, boundary fitting, separation, merging, and filtering are carried out to form a relatively complete rock boundary recognition result. Finally, the streak crevices and irregular crevices are detected according to the crevice geometry and pixel distribution characteristics to determine the crack direction. The experimental results show that this method can extract complete rock cracks with less than a 2% extraction error rate. Besides, the detection rates of the algorithm for the streak crevices and irregular crevices are 97% and 94%, respectively, and the detection accuracy of the crevice direction is 98%. This indicates that the algorithm proposed here is applicable to geological sketch and provides a reference for the classification of surrounding rock on the tunnel face. |
| Author | Jiang, Feng Wang, Gang Zheng, Chengcheng Wu, Yue He, Peng Xiao, Zhiyong |
| Author_xml | – sequence: 1 givenname: Feng surname: Jiang fullname: Jiang, Feng organization: Department of Civil Engineering, Shandong University of Science and Technology – sequence: 2 givenname: Gang surname: Wang fullname: Wang, Gang organization: Department of Civil Engineering, Shandong University of Science and Technology – sequence: 3 givenname: Peng orcidid: 0000-0001-7603-3376 surname: He fullname: He, Peng email: hepenghank@163.com organization: Department of Civil Engineering, Shandong University of Science and Technology – sequence: 4 givenname: Chengcheng surname: Zheng fullname: Zheng, Chengcheng organization: Department of Civil Engineering, Shandong University of Science and Technology – sequence: 5 givenname: Zhiyong surname: Xiao fullname: Xiao, Zhiyong organization: Department of Civil Engineering, Shandong University of Science and Technology – sequence: 6 givenname: Yue surname: Wu fullname: Wu, Yue organization: Department of Civil Engineering, Shandong University of Science and Technology |
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| Cites_doi | 10.1007/s11629-018-5333-3 10.1088/1755-1315/643/1/012038 10.1016/j.enggeo.2021.106232 10.1007/s10064-017-1179-0 10.1016/j.jafrearsci.2018.08.022 10.1016/j.petrol.2019.03.062 10.4236/jsea.2018.1111032 10.1007/s10706-020-01255-z 10.20964/2019.05.09 10.1142/S0218194019500074 10.1051/e3sconf/201913101063 10.1088/1755-1315/580/1/012023 10.1007/s10064-021-02283-6 10.3390/en14102748 10.1016/j.eswa.2021.114636 10.1016/j.enggeo.2020.105553 10.1007/s00603-020-02130-2 10.1088/1755-1315/570/5/052075 10.3390/w12010160 10.1016/j.ijrmms.2021.104760 |
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| Keywords | Canny operator Crevice extraction Threshold adaptive segmentation Digital image processing |
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| Snippet | The present work aims to reduce tunnel construction accidents to personnel. The threshold adaptive segmentation algorithm combined with the Canny operator is... |
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| SubjectTerms | Adaptive algorithms Algorithms Compilers Computer Science Construction site accidents Cracks Data Mining for IoT in Mobile Edge computing Digital imaging Disclaimers Equalization Error detection Flaw detection Histograms Image classification Image contrast Image enhancement Image processing Image segmentation Interpreters Processor Architectures Programming Languages Rock masses Tunnel construction |
| Title | Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction |
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